Triple
T6016966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eric Dickerson |
E133970
|
entity |
| Predicate | offensiveRookieOfTheYearAward |
P66737
|
FINISHED |
| Object | 1983 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 1983 | Statement: [Eric Dickerson, offensiveRookieOfTheYearAward, 1983]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offensiveRookieOfTheYearAward Context triple: [Eric Dickerson, offensiveRookieOfTheYearAward, 1983]
-
A.
defensiveRookieOfTheYear
Indicates that the subject was awarded the Defensive Rookie of the Year honor in a given league or competition.
-
B.
APNFLOffensiveRookieOfTheYear
chosen
Indicates that a player received the Associated Press NFL Offensive Rookie of the Year award for a given season.
-
C.
leagueRookieOfTheYearSeason
Indicates that an entity was selected as the league's Rookie of the Year for a particular season.
-
D.
NBArookieOfTheYearAwards
Indicates that the subject has received one or more NBA Rookie of the Year awards.
-
E.
defensivePlayerOfTheYear
Indicates that the subject was recognized or awarded as the top defensive player of the year in a particular league, competition, or season.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c0087361a48190905c6b55969852b8 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04f8458588190a78aa32cbdbecfb1 |
completed | March 22, 2026, 8:22 p.m. |
| PD | Predicate disambiguation | batch_69c049e75b3881908be106fbcf8c68d4 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:06 p.m.